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augraphy

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

automatic-watermark-detection

Project for Digital Image Processing

baidupan-explorer

Get download links from pan.baidu.com and you don't need to be afraid of getting your account banned

calographnn

cascadetabnet

This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"

cbnetv2

cdecnet

CDeC-Net: Composite Deformable Cascade Network for Table Detection in Document Images

chatgpt-on-wechat

使用ChatGPT搭建微信聊天机器人，基于ChatGPT3.5 API和itchat实现。Wechat robot based on ChatGPT, which using OpenAI api and itchat library.

clash-verge

A Clash GUI based on tauri. Supports Windows, macOS and Linux.

db

A PyTorch implementation of "Real-time Scene Text Detection with Differentiable Binarization".

ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

deeppose_tf

DeepPose implementation on TensorFlow. Original Paper http://arxiv.org/abs/1312.4659

detr3d

eaten

EATEN: Entity-aware Attention for Single Shot Visual Text Extraction

edd

edd-third-party

The third-party implement of Encoder Dual Decoder method for table recognition

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fas

A Collection of optimized implementations of algorithms for the Feedback Arc Set problem

fcn2s

gemmlowp

Low-precision matrix multiplication

gfte

A GCN-based table structure recognition method

graph-based-tsr

hacnet

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

http-request

Java HTTP Request Library

hungarian-algorithm

(Kuhn-Munkres) numpy implementation, rectangular matrix is supported (|X| <= |Y|). 100x100000 in 0.153 s.

icdar2019_ctdar

The ICDAR 2019 cTDaR is to evaluate the performance of methods for table detection (TRACK A) and table recognition (TRACK B). For the first track, document images containing one or several tables are provided. For TRACK B two subtracks exist: the first subtrack (B.1) provides the table region. Thus, only the table structure recognition must be performed. The second subtrack (B.2) provides no a-priori information. This means, the table region and table structure detection has to be done.

im2markup

Neural model for converting Image-to-Markup (by Yuntian Deng github.com/da03)

imageprocessing-python

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。